Senior Data Scientist
Posted on May 20, 2026 by CV-Library
London, United Kingdom
IT
Immediate Start
£700 - £850 Daily
Contract/Project
Senior Data Scientist - Contract
£700-£850 per day | Inside IR35 | Hybrid (1 day per week London)
We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments.
This role sits at the intersection of analytics, risk, and decision science, focusing on building models that enable organisations to identify emerging threats, quantify risk exposure, and make informed, evidence‑based decisions. You'll work across large, complex, and often sensitive data sets to develop modelling frameworks that support real‑world, high‑impact outcomes.
Key responsibilities:
Design and develop advanced risk models, including predictive, probabilistic, and scenario‑based modelling approaches
Apply data science techniques to risk scoring, anomaly detection, and threat assessment across complex datasets
Build and deploy machine learning models into production, ensuring scalability and robustness
Develop scenario simulations to model potential risks, behaviours, and outcomes under uncertainty
Analyse patterns, trends, and outliers to identify emerging threats and risk indicators
Translate business and regulatory requirements into practical analytical frameworks
Communicate complex findings clearly to technical and non‑technical stakeholders
Essential experience:
Strong Python data science stack (pandas, NumPy, scikit‑learn)
Proven delivery of complex models (predictive, probabilistic, simulation‑based) in real environments
Deep experience in risk modelling, including risk scoring frameworks, predictive risk analytics, and scenario modelling
Experience in threat detection / anomaly detection, such as fraud, compliance, safety, or security use cases
Strong grounding in statistics, hypothesis testing, and experimental design
Experience working with large, complex, and messy data sets
Experience in life sciences, healthcare, or other highly regulated sectors
This is a high‑impact contract for a hands‑on data scientist who thrives on solving complex risk problems, building sophisticated models, and helping organisations stay ahead of emerging threats in regulated environments
£700-£850 per day | Inside IR35 | Hybrid (1 day per week London)
We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments.
This role sits at the intersection of analytics, risk, and decision science, focusing on building models that enable organisations to identify emerging threats, quantify risk exposure, and make informed, evidence‑based decisions. You'll work across large, complex, and often sensitive data sets to develop modelling frameworks that support real‑world, high‑impact outcomes.
Key responsibilities:
Design and develop advanced risk models, including predictive, probabilistic, and scenario‑based modelling approaches
Apply data science techniques to risk scoring, anomaly detection, and threat assessment across complex datasets
Build and deploy machine learning models into production, ensuring scalability and robustness
Develop scenario simulations to model potential risks, behaviours, and outcomes under uncertainty
Analyse patterns, trends, and outliers to identify emerging threats and risk indicators
Translate business and regulatory requirements into practical analytical frameworks
Communicate complex findings clearly to technical and non‑technical stakeholders
Essential experience:
Strong Python data science stack (pandas, NumPy, scikit‑learn)
Proven delivery of complex models (predictive, probabilistic, simulation‑based) in real environments
Deep experience in risk modelling, including risk scoring frameworks, predictive risk analytics, and scenario modelling
Experience in threat detection / anomaly detection, such as fraud, compliance, safety, or security use cases
Strong grounding in statistics, hypothesis testing, and experimental design
Experience working with large, complex, and messy data sets
Experience in life sciences, healthcare, or other highly regulated sectors
This is a high‑impact contract for a hands‑on data scientist who thrives on solving complex risk problems, building sophisticated models, and helping organisations stay ahead of emerging threats in regulated environments
Reference: 225139365
https://jobs.careeraddict.com/post/113265984
Senior Data Scientist
Posted on May 20, 2026 by CV-Library
London, United Kingdom
IT
Immediate Start
£700 - £850 Daily
Contract/Project
Senior Data Scientist - Contract
£700-£850 per day | Inside IR35 | Hybrid (1 day per week London)
We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments.
This role sits at the intersection of analytics, risk, and decision science, focusing on building models that enable organisations to identify emerging threats, quantify risk exposure, and make informed, evidence‑based decisions. You'll work across large, complex, and often sensitive data sets to develop modelling frameworks that support real‑world, high‑impact outcomes.
Key responsibilities:
Design and develop advanced risk models, including predictive, probabilistic, and scenario‑based modelling approaches
Apply data science techniques to risk scoring, anomaly detection, and threat assessment across complex datasets
Build and deploy machine learning models into production, ensuring scalability and robustness
Develop scenario simulations to model potential risks, behaviours, and outcomes under uncertainty
Analyse patterns, trends, and outliers to identify emerging threats and risk indicators
Translate business and regulatory requirements into practical analytical frameworks
Communicate complex findings clearly to technical and non‑technical stakeholders
Essential experience:
Strong Python data science stack (pandas, NumPy, scikit‑learn)
Proven delivery of complex models (predictive, probabilistic, simulation‑based) in real environments
Deep experience in risk modelling, including risk scoring frameworks, predictive risk analytics, and scenario modelling
Experience in threat detection / anomaly detection, such as fraud, compliance, safety, or security use cases
Strong grounding in statistics, hypothesis testing, and experimental design
Experience working with large, complex, and messy data sets
Experience in life sciences, healthcare, or other highly regulated sectors
This is a high‑impact contract for a hands‑on data scientist who thrives on solving complex risk problems, building sophisticated models, and helping organisations stay ahead of emerging threats in regulated environments
£700-£850 per day | Inside IR35 | Hybrid (1 day per week London)
We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments.
This role sits at the intersection of analytics, risk, and decision science, focusing on building models that enable organisations to identify emerging threats, quantify risk exposure, and make informed, evidence‑based decisions. You'll work across large, complex, and often sensitive data sets to develop modelling frameworks that support real‑world, high‑impact outcomes.
Key responsibilities:
Design and develop advanced risk models, including predictive, probabilistic, and scenario‑based modelling approaches
Apply data science techniques to risk scoring, anomaly detection, and threat assessment across complex datasets
Build and deploy machine learning models into production, ensuring scalability and robustness
Develop scenario simulations to model potential risks, behaviours, and outcomes under uncertainty
Analyse patterns, trends, and outliers to identify emerging threats and risk indicators
Translate business and regulatory requirements into practical analytical frameworks
Communicate complex findings clearly to technical and non‑technical stakeholders
Essential experience:
Strong Python data science stack (pandas, NumPy, scikit‑learn)
Proven delivery of complex models (predictive, probabilistic, simulation‑based) in real environments
Deep experience in risk modelling, including risk scoring frameworks, predictive risk analytics, and scenario modelling
Experience in threat detection / anomaly detection, such as fraud, compliance, safety, or security use cases
Strong grounding in statistics, hypothesis testing, and experimental design
Experience working with large, complex, and messy data sets
Experience in life sciences, healthcare, or other highly regulated sectors
This is a high‑impact contract for a hands‑on data scientist who thrives on solving complex risk problems, building sophisticated models, and helping organisations stay ahead of emerging threats in regulated environments
Reference: 225139365
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